Intelligent Systems and IoT: A Comparative Analysis of Technologies, Applications, and Emerging Trends

The Internet of Things (IoT) and intelligent systems have emerged as two significant technological advancements in recent years. These ideas are now fundamental to many industries, including manufacturing, healthcare, transportation, agriculture, and even urban planning. Although these two terms are closely related, they have different fundamental perspectives, characteristics, and uses. This study aims to discuss the characteristics, similarities, and relationships of intelligent systems and IoT, as well as their challenges, future directions, and opportunities to enhance the automation, decision making, and productivity of real-life problems. Intelligent systems are developed to make decisions for the sake of humans using complex techniques like logic-based systems, learning and artificial intelligence while IoT is an extension of the cyber physical world where objects can interact with each other and share data. Together, these technologies enable automated systems, improve the operations, and support real time decision making. Furthermore, the study also discusses the potential issues in the development and application of intelligent systems and IoT, such as security, scalability, and interoperability concerns. It also outlines some future directions, including the environments growing that tendency can of respond combining to AI changes based in intelligent the systems system. with Other IoT aspects to of generate these intelligent technologies and including adaptive their components and their applications are also thoroughly discussed to demonstrate how they enable innovations such as smart cities, precision agriculture, predictive healthcare, and advanced manufacturing systems. In this paper, the combined use of the strength of IoT and intelligent systems is proposed to lead to the development of highly automated systems and intelligent environments to enhance the way of life in the future.